摘要
为了提升内蒙古热电公司350兆瓦燃煤电厂的脱硝效能,利用计算流体动力学(Computational Fluid Dynamics,CFD)模拟技术,仿真分析其选择性催化还原(Selective Catalytic Reduction,SCR)烟气脱硝系统的改造方案。采用尿素催化水解制氨的新工艺,替代传统的液氨制氨方法,应用于电厂内两组锅炉的烟气净化流程。通过构建基于湍流理论的CFD模型,模拟改造后的SCR系统内烟气的流动与化学反应过程。研究结果显示,无论是运行于稳定工况还是复杂多变的非均匀工况,尿素催化水解制氨技术均能有效实现SCR系统的烟气脱硝平衡调控。脱硝效率与几个关键参数密切相关:随着烟气温度的上升,脱硝效率显著提升;在氨氮比优化至0.8时,系统即可达到近乎完全的脱硝效果;然而,随着空速的增加,脱硝效率则会出现一定程度的下降。
In order to improve the denitrification efficiency of the 350 MW coal-fired power plant of Inner Mongolia Thermal Power Company,the selective catalytic reduction(SCR)flue gas denitrification system was simulated and analyzed by using Computational Fluid Dynamics(CFD)simulation technology.Program.The new process of ammonia production by catalytic hydrolysis of urea was applied to the flue gas purification of two sets of boilers in the power plant,replacing the traditional method of ammonia production by liquid ammonia.A CFD model based on turbulence theory was constructed to simulate the flue gas flow and chemical reaction process in the modified SCR system.The results show that the urea-catalyzed hydrolysis to ammonia technology can effectively achieve the balance of flue gas denitrification in the SCR system,whether it is operated under stable or complex non-uniform working conditions.The denitrification efficiency is closely related to several key parameters:with the increase of flue gas temperature,the denitrification efficiency increases significantly;when the ammonia/nitrogen ratio is optimized to 0.8,the system can achieve nearly complete denitrification;however,with the increase of airspeed,the denitrification efficiency decreases to a certain extent.
作者
白福军
张志成
贾鹏飞
BAI Fu-jun;ZHANG Zhi-cheng;JIA Peng-fei(Inner Mongolia Jingneng Kangbashi Thermal Power Co.,Ltd.,Ordos Inner Mongolia 017010,China;Northeastern University,Liaoning Shenyang 110819,China)
出处
《计算机仿真》
2026年第2期69-73,共5页
Computer Simulation
基金
京能集团“内蒙古京能康巴什热电有限公司脱硝系统清洁生产与效率优化科技项目”(JN202355)。
关键词
燃煤电厂
烟气脱硝
氮氧化物
数值模拟
湍流标准
Coal-fired power plant
Flue gas denitrification
NOx
Numerical simulation
Turbulence criteria
